Transferred Dimensionality Reduction.
Zheng WangYangqiu SongChangshui ZhangPublished in: ECML/PKDD (2) (2008)
Keyphrases
- dimensionality reduction
- principal component analysis
- data representation
- pattern recognition
- feature extraction
- low dimensional
- high dimensional data
- high dimensional
- feature space
- structure preserving
- manifold learning
- high dimensionality
- random projections
- singular value decomposition
- preprocessing step
- principal components
- lower dimensional
- dimensionality reduction methods
- data points
- input space
- nonlinear dimensionality reduction
- diffusion maps
- pattern recognition and machine learning
- linear discriminant analysis
- kernel learning
- metric learning
- euclidean distance
- principal components analysis
- intrinsic dimensionality
- feature selection
- kernel pca
- nearest neighbor
- feature vectors
- pairwise
- linear dimensionality reduction
- machine learning